The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-06"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3755341 (up from 3662691 yesterday: 2.53 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "263831 (up from 257239 yesterday: 2.56 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.03



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1228603 24252 2.01 73431 2367 3.33 5.98
Spain 220325 996 0.45 25857 244 0.95 11.74
Italy 214457 1444 0.68 29684 369 1.26 13.84
United Kingdom 202359 6116 3.12 30150 649 2.20 14.90
France 174224 3537 2.07 25812 275 1.08 14.82
Germany 168162 1155 0.69 7275 282 4.03 4.33
Russia 165929 10559 6.80 1537 86 5.93 0.93
Turkey 131744 2253 1.74 3584 64 1.82 2.72
Brazil 126611 11156 9.66 8588 650 8.19 6.78
Iran 101650 1680 1.68 6418 78 1.23 6.31
China 83970 2 0.00 4637 0 0.00 5.52
Canada 64694 1479 2.34 4366 176 4.20 6.75
Peru 54817 3628 7.09 1533 89 6.16 2.80
India 52987 3587 7.26 1785 92 5.43 3.37
Belgium 50781 272 0.54 8339 323 4.03 16.42
Netherlands 41518 232 0.56 5221 36 0.69 12.58
Saudi Arabia 31938 1687 5.58 209 9 4.50 0.65
Ecuador 31881 0 0.00 1618 49 3.12 5.08
Switzerland 30060 51 0.17 1805 10 0.56 6.00
Mexico 27634 1609 6.18 2704 197 7.86 9.79
Portugal 26182 480 1.87 1089 15 1.40 4.16
Pakistan 24073 2024 9.18 564 50 9.73 2.34
Sweden 23918 702 3.02 2941 87 3.05 12.30
Chile 23048 1032 4.69 281 6 2.18 1.22
Ireland 22248 265 1.21 1375 36 2.69 6.18
Singapore 20198 788 4.06 20 2 11.11 0.10
Belarus 19255 905 4.93 112 5 4.67 0.58
Qatar 17972 830 4.84 12 0 0.00 0.07
Israel 16310 21 0.13 239 1 0.42 1.47
United Arab Emirates 15738 546 3.59 157 11 7.53 1.00
Austria 15684 34 0.22 608 2 0.33 3.88
Japan 15253 0 0.00 556 0 0.00 3.65
Poland 14740 309 2.14 733 17 2.37 4.97
Romania 14107 270 1.95 864 23 2.73 6.12
Ukraine 13184 487 3.84 327 11 3.48 2.48
Indonesia 12438 367 3.04 895 23 2.64 7.20
Bangladesh 11719 790 7.23 186 3 1.64 1.59
Korea, South 10810 4 0.04 256 1 0.39 2.37
Denmark 10136 117 1.17 506 3 0.60 4.99
Philippines 10004 320 3.30 658 21 3.30 6.58
Serbia 9791 114 1.18 203 3 1.50 2.07
Colombia 8959 346 4.02 397 19 5.03 4.43
Dominican Republic 8807 327 3.86 362 8 2.26 4.11
Norway 7996 41 0.52 216 1 0.47 2.70
Czechia 7974 78 0.99 262 5 1.95 3.29
South Africa 7808 236 3.12 153 5 3.38 1.96
Panama 7731 208 2.76 218 8 3.81 2.82
Egypt 7588 387 5.37 469 17 3.76 6.18
Australia 6894 19 0.28 97 0 0.00 1.41
Malaysia 6428 45 0.70 107 1 0.94 1.66
Kuwait 6289 485 8.36 42 2 5.00 0.67
Finland 5573 161 2.97 252 6 2.44 4.52
Morocco 5408 189 3.62 183 2 1.10 3.38
Argentina 5208 188 3.75 273 9 3.41 5.24
Algeria 4997 159 3.29 476 6 1.28 9.53
Moldova 4476 113 2.59 143 7 5.15 3.19
Kazakhstan 4422 217 5.16 30 1 3.45 0.68
Bahrain 3934 214 5.75 8 0 0.00 0.20
Luxembourg 3851 11 0.29 98 2 2.08 2.54
Afghanistan 3392 168 5.21 104 9 9.47 3.07
Nigeria 3145 195 6.61 103 5 5.10 3.28
Hungary 3111 46 1.50 373 10 2.75 11.99
Ghana 3091 372 13.68 18 0 0.00 0.58
Thailand 2989 1 0.03 55 1 1.85 1.84
Oman 2903 168 6.14 13 0 0.00 0.45
Armenia 2782 163 6.22 40 0 0.00 1.44
Greece 2663 21 0.79 147 1 0.68 5.52
Iraq 2480 49 2.02 102 0 0.00 4.11
Cameroon 2265 161 7.65 108 44 68.75 4.77
Uzbekistan 2233 26 1.18 10 0 0.00 0.45
Azerbaijan 2127 67 3.25 28 2 7.69 1.32
Croatia 2119 7 0.33 85 2 2.41 4.01
Bosnia and Herzegovina 1987 41 2.11 86 7 8.86 4.33
Bolivia 1886 84 4.66 91 5 5.81 4.83
Guinea 1856 45 2.48 11 1 10.00 0.59
Iceland 1799 0 0.00 10 0 0.00 0.56
Bulgaria 1778 74 4.34 84 4 5.00 4.72
Estonia 1713 2 0.12 55 0 0.00 3.21
Cuba 1703 18 1.07 69 0 0.00 4.05
North Macedonia 1539 13 0.85 88 2 2.33 5.72
Cote d’Ivoire 1516 52 3.55 18 0 0.00 1.19
New Zealand 1489 1 0.07 21 0 0.00 1.41
Honduras 1461 191 15.04 99 6 6.45 6.78
Slovenia 1448 3 0.21 99 1 1.02 6.84
Senegal 1433 104 7.83 12 1 9.09 0.84
Slovakia 1429 8 0.56 25 0 0.00 1.75
Lithuania 1428 5 0.35 48 2 4.35 3.36
Djibouti 1124 4 0.36 3 1 50.00 0.27
Tunisia 1025 3 0.29 43 0 0.00 4.20

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 323978 2786 0.87 25623 499 1.99 7.91 16653.92 1317.14 1 in 60
New Jersey 131890 1297 0.99 8549 305 3.70 6.48 14848.82 962.49 1 in 67
Massachusetts 72025 1754 2.50 4420 208 4.94 6.14 10364.05 636.02 1 in 96
Illinois 68232 2343 3.56 2974 140 4.94 4.36 5384.55 234.69 1 in 186
California 60616 2160 3.70 2464 83 3.49 4.06 1534.11 62.36 1 in 652
Pennsylvania 54800 936 1.74 3345 166 5.22 6.10 4280.58 261.29 1 in 234
Michigan 45179 728 1.64 4256 73 1.75 9.42 4523.85 426.16 1 in 221
Florida 38002 563 1.50 1539 68 4.62 4.05 1769.37 71.66 1 in 565
Texas 34928 1016 3.00 954 29 3.14 2.73 1204.58 32.90 1 in 830
Connecticut 30995 374 1.22 2718 85 3.23 8.77 8693.55 762.35 1 in 115
Georgia 30743 745 2.48 1327 28 2.16 4.32 2895.52 124.98 1 in 345
Louisiana 30399 403 1.34 2167 52 2.46 7.13 6539.12 466.14 1 in 153
Maryland 28163 1046 3.86 1437 47 3.38 5.10 4658.37 237.69 1 in 215
Indiana 21870 837 3.98 1377 166 13.71 6.30 3248.56 204.54 1 in 308
Ohio 21576 607 2.89 1225 90 7.93 5.68 1845.82 104.80 1 in 542
Virginia 20257 0 0.00 713 0 0.00 3.52 2373.26 83.53 1 in 421
Colorado 17832 465 2.68 919 16 1.77 5.15 3096.51 159.58 1 in 323
Washington 15905 311 1.99 870 8 0.93 5.47 2088.67 114.25 1 in 479
Tennessee 13938 248 1.81 239 13 5.75 1.71 2039.75 34.98 1 in 490
North Carolina 13053 543 4.34 492 20 4.24 3.77 1244.56 46.91 1 in 803
Iowa 10404 293 2.90 219 12 5.80 2.10 3297.55 69.41 1 in 303
Rhode Island 10205 272 2.74 370 15 4.23 3.63 9633.17 349.27 1 in 104
Arizona 9707 402 4.32 426 31 7.85 4.39 1274.74 55.94 1 in 784
Missouri 9323 202 2.21 428 19 4.65 4.59 1519.04 69.74 1 in 658
Wisconsin 8901 335 3.91 362 9 2.55 4.07 1528.74 62.17 1 in 654
Alabama 8691 254 3.01 343 28 8.89 3.95 1772.52 69.95 1 in 564
Minnesota 8579 728 9.27 485 30 6.59 5.65 1521.20 86.00 1 in 657
Mississippi 8424 217 2.64 374 32 9.36 4.44 2830.50 125.67 1 in 353
South Carolina 6936 95 1.39 305 9 3.04 4.40 1347.13 59.24 1 in 742
Nebraska 6689 316 4.96 78 0 0.00 1.17 3457.91 40.32 1 in 289
Kansas 5993 345 6.11 164 3 1.86 2.74 2057.11 56.29 1 in 486
Kentucky 5934 112 1.92 283 8 2.91 4.77 1328.21 63.34 1 in 753
Delaware 5778 407 7.58 193 6 3.21 3.34 5933.68 198.20 1 in 169
Nevada 5741 81 1.43 289 19 7.04 5.03 1863.87 93.83 1 in 537
Utah 5595 146 2.68 58 2 3.57 1.04 1745.19 18.09 1 in 573
District of Columbia 5461 139 2.61 277 13 4.92 5.07 7737.88 392.49 1 in 129
New Mexico 4291 153 3.70 169 7 4.32 3.94 2046.42 80.60 1 in 489
Oklahoma 4202 75 1.82 253 6 2.43 6.02 1061.92 63.94 1 in 942
Arkansas 3611 86 2.44 87 4 4.82 2.41 1196.56 28.83 1 in 836
Oregon 2916 77 2.71 115 2 1.77 3.94 691.37 27.27 1 in 1446
South Dakota 2780 59 2.17 29 5 20.83 1.04 3142.45 32.78 1 in 318
New Hampshire 2741 105 3.98 92 0 0.00 3.36 2015.87 67.66 1 in 496
Idaho 2158 31 1.46 66 1 1.54 3.06 1204.20 36.83 1 in 830
Puerto Rico 1968 44 2.29 99 0 0.00 5.03 616.21 31.00 1 in 1623
North Dakota 1323 57 4.50 31 6 24.00 2.34 1736.08 40.68 1 in 576
Maine 1254 28 2.28 62 1 1.64 4.94 932.89 46.12 1 in 1072
West Virginia 1242 -4 -0.32 50 2 4.17 4.03 694.96 27.98 1 in 1439
Vermont 908 1 0.11 52 0 0.00 5.73 1455.15 83.33 1 in 687
Wyoming 631 27 4.47 7 0 0.00 1.11 1090.26 12.09 1 in 917
Hawaii 626 1 0.16 17 0 0.00 2.72 442.13 12.01 1 in 2262
Montana 456 0 0.00 16 0 0.00 3.51 426.66 14.97 1 in 2344
Alaska 372 1 0.27 10 1 11.11 2.69 508.51 13.67 1 in 1967

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1028899 323978 31.49 52890.01
New Jersey 288920 131890 45.65 32528.01
Massachusetts 339639 72025 21.21 48872.42
Illinois 361260 68232 18.89 28508.93
California 809036 60616 7.49 20475.59
Pennsylvania 256340 54800 21.38 20023.45
Michigan 233231 45179 19.37 23353.79
Florida 480051 38002 7.92 22351.10
Texas 438938 34928 7.96 15137.94
Connecticut 111447 30995 27.81 31258.91
Georgia 204137 30743 15.06 19226.61
Louisiana 194672 30399 15.62 41875.81
Maryland 144012 28163 19.56 23820.65
Indiana 120496 21870 18.15 17898.41
Ohio 168929 21576 12.77 14451.84
Virginia 113708 20257 17.81 13321.74
Colorado 85976 17832 20.74 14929.67
Washington 219453 15905 7.25 28818.92
Tennessee 227101 13938 6.14 33235.07
North Carolina 164482 13053 7.94 15682.75
Iowa 63171 10404 16.47 20022.06
Rhode Island 79373 10205 12.86 74925.36
Arizona 91737 9707 10.58 12047.05
Missouri 100747 9323 9.25 16415.18
Wisconsin 96727 8901 9.20 16612.81
Alabama 109516 8691 7.94 22335.69
Minnesota 93232 8579 9.20 16531.58
Mississippi 80525 8424 10.46 27056.78
South Carolina 77482 6936 8.95 15048.81
Nebraska 36128 6689 18.51 18676.51
Kansas 42114 5993 14.23 14455.70
Kentucky 61014 5934 9.73 13656.77
Delaware 26468 5778 21.83 27181.12
Nevada 49275 5741 11.65 15997.57
Utah 131002 5595 4.27 40862.04
District of Columbia 24984 5461 21.86 35400.69
New Mexico 83251 4291 5.15 39703.29
Oklahoma 82890 4202 5.07 20947.84
Arkansas 59003 3611 6.12 19551.50
Oregon 67976 2916 4.29 16116.70
South Dakota 19416 2780 14.32 21947.44
New Hampshire 27733 2741 9.88 20396.25
Idaho 30545 2158 7.06 17044.58
Puerto Rico 1968 1968 100.00 616.21
North Dakota 38632 1323 3.42 50694.04
Maine 23346 1254 5.37 17367.80
West Virginia 55784 1242 2.23 31214.00
Vermont 17876 908 5.08 28647.94
Wyoming 12007 631 5.26 20746.11
Hawaii 35199 626 1.78 24860.30
Montana 19704 456 2.31 18436.01
Alaska 23655 372 1.57 32335.67

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 16758 1233 7.94 3094 18.46 13013 651 34 5.51 3.88
Gujarat 6625 380 6.08 1500 22.64 4729 396 28 7.61 5.98
Delhi 5532 428 8.39 1542 27.87 3925 65 1 1.56 1.17
Tamil Nadu 4829 771 19.00 1516 31.39 3278 35 2 6.06 0.72
Rajasthan 3317 159 5.03 1739 52.43 1485 93 4 4.49 2.80
Madhya Pradesh 3138 89 2.92 1099 35.02 1854 185 9 5.11 5.90
Uttar Pradesh 2998 118 4.10 1130 37.69 1808 60 4 7.14 2.00
Andhra Pradesh 1777 60 3.49 729 41.02 1012 36 2 5.88 2.03
Punjab 1526 75 5.17 135 8.85 1364 27 2 8.00 1.77
West Bengal 1456 112 8.33 265 18.20 1047 144 4 2.86 9.89
Telangana 1107 11 1.00 648 58.54 430 29 0 0.00 2.62
Jammu and Kashmir 775 34 4.59 322 41.55 445 8 0 0.00 1.03
Karnataka 693 20 2.97 354 51.08 309 29 0 0.00 4.18
Haryana 594 46 8.39 260 43.77 327 7 1 16.67 1.18
Bihar 542 7 1.31 188 34.69 350 4 0 0.00 0.74
Kerala 503 0 0.00 469 93.24 30 4 0 0.00 0.80
Odisha 205 28 15.82 61 29.76 142 2 0 0.00 0.98
Jharkhand 127 2 1.60 37 29.13 87 3 0 0.00 2.36
Chandigarh 124 9 7.83 21 16.94 102 1 0 0.00 0.81
Tripura 64 22 52.38 2 3.12 62 0 0 NaN 0.00
Uttarakhand 61 0 0.00 39 63.93 21 1 0 0.00 1.64
Chhattisgarh 59 0 0.00 36 61.02 23 0 0 NaN 0.00
Assam 46 1 2.22 35 76.09 10 1 0 0.00 2.17
Himachal Pradesh 43 1 2.38 34 79.07 3 3 0 0.00 6.98
Ladakh 42 0 0.00 17 40.48 25 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 32 96.97 1 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 9 0 0.00 6 66.67 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 439806 79369 764 0.97 18.05 6079 480 31753 14611 18.41
Piemonte 188057 27939 165 0.59 14.86 2147 150 14858 3247 11.62
Emilia-Romagna 211652 26379 104 0.40 12.46 1816 176 8391 3737 14.17
Veneto 399806 18479 77 0.42 4.62 902 90 6789 1568 8.49
Toscana 161553 9657 26 0.27 5.98 462 92 5088 899 9.31
Liguria 59693 8551 76 0.90 14.32 548 59 3306 1243 14.54
Lazio 160894 6995 81 1.17 4.35 1351 91 4433 538 7.69
Marche 69037 6421 29 0.45 9.30 353 42 3236 943 14.69
Campania 96548 4532 14 0.31 4.69 433 25 2340 376 8.30
P.A. Trento 44719 4280 19 0.45 9.57 116 13 982 437 10.21
Puglia 70944 4196 26 0.62 5.91 365 36 2903 438 10.44
Sicilia 92999 3281 14 0.43 3.53 359 25 2201 250 7.62
Friuli Venezia Giulia 79429 3094 9 0.29 3.90 115 3 962 306 9.89
Abruzzo 43803 3047 22 0.73 6.96 285 11 1791 341 11.19
P.A. Bolzano 46228 2543 1 0.04 5.50 99 11 579 286 11.25
Umbria 41328 1404 4 0.29 3.40 55 9 171 70 4.99
Sardegna 29966 1319 1 0.08 4.40 91 11 623 119 9.02
Valle d’Aosta 8640 1146 3 0.26 13.26 50 3 127 139 12.13
Calabria 41828 1122 3 0.27 2.68 87 3 644 89 7.93
Basilicata 16103 399 3 0.76 2.48 47 3 172 25 6.27
Molise 7896 304 3 1.00 3.85 9 0 179 22 7.24

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 34334 909 2.72 2511 112 4.67 7.31 4021.47 294.11 1 in 249
Ontario 19910 442 2.27 1560 55 3.65 7.84 1353.33 106.04 1 in 739
Alberta 5963 70 1.19 112 6 5.66 1.88 1351.19 25.38 1 in 740
British Columbia 2255 23 1.03 124 3 2.48 5.50 441.21 24.26 1 in 2266
Nova Scotia 998 7 0.71 41 0 0.00 4.11 1021.02 41.95 1 in 979
Saskatchewan 512 25 5.13 7 0 0.00 1.37 433.29 5.92 1 in 2308
Manitoba 286 2 0.70 7 0 0.00 2.45 207.62 5.08 1 in 4816
Newfoundland and Labrador 259 0 0.00 3 0 0.00 1.16 496.77 5.75 1 in 2013
New Brunswick 120 1 0.84 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1040 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 657 7 1.07
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 198 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 112 1 0.89
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3754.90 224.42 1 in 266
Spain 4721.92 554.16 1 in 212
Italy 3545.92 490.81 1 in 282
United Kingdom 3045.74 453.79 1 in 328
France 2600.75 385.31 1 in 385
Germany 2031.19 87.87 1 in 492
Russia 1148.30 10.64 1 in 871
Turkey 1630.29 44.35 1 in 613
Brazil 604.93 41.03 1 in 1653
Iran 1252.46 79.08 1 in 798
China 60.58 3.35 1 in 16506
Canada 1721.04 116.15 1 in 581
Peru 1703.98 47.65 1 in 587
India 39.57 1.33 1 in 25270
Belgium 4454.47 731.49 1 in 224
Netherlands 2416.65 303.90 1 in 414
Saudi Arabia 969.58 6.34 1 in 1031
Ecuador 1918.23 97.35 1 in 521
Switzerland 3507.58 210.62 1 in 285
Mexico 213.89 20.93 1 in 4675

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 178351 19174 10.75
Cook Illinois 46689 2004 4.29
Nassau New York 37350 1891 5.06
Suffolk New York 35543 1522 4.28
Westchester New York 30426 1167 3.84
Los Angeles California 28665 1369 4.78
Wayne Michigan 17571 1973 11.23
Philadelphia Pennsylvania 16697 803 4.81
Bergen New Jersey 16520 1289 7.80
Middlesex Massachusetts 16327 1070 6.55
Hudson New Jersey 16197 903 5.58
Essex New Jersey 14951 1349 9.02
Suffolk Massachusetts 14476 642 4.43
Passaic New Jersey 13971 690 4.94
Union New Jersey 13604 800 5.88
Miami-Dade Florida 13371 432 3.23
Middlesex New Jersey 13254 706 5.33
Fairfield Connecticut 12455 952 7.64
Rockland New York 12204 551 4.51
Essex Massachusetts 10344 561 5.42
Orange New York 9215 358 3.88
New Haven Connecticut 8419 629 7.47
Prince George’s Maryland 8135 311 3.82
Oakland Michigan 7573 774 10.22
Harris Texas 7244 150 2.07
Providence Rhode Island 7138 0 0.00
Ocean New Jersey 7125 483 6.78
Worcester Massachusetts 6992 365 5.22
Marion Indiana 6730 390 5.79
King Washington 6704 474 7.07
Norfolk Massachusetts 6610 596 9.02
Orleans Louisiana 6608 464 7.02
Jefferson Louisiana 6554 387 5.90
Monmouth New Jersey 6552 417 6.36
Hartford Connecticut 6530 842 12.89
Plymouth Massachusetts 5899 357 6.05
Macomb Michigan 5832 662 11.35
Montgomery Maryland 5790 333 5.75
Morris New Jersey 5655 491 8.68
Broward Florida 5553 219 3.94
District of Columbia District of Columbia 5461 277 5.07
Maricopa Arizona 5138 186 3.62
Dallas Texas 4869 123 2.53
Mercer New Jersey 4860 298 6.13
Fairfax Virginia 4834 201 4.16
Montgomery Pennsylvania 4827 471 9.76
Riverside California 4672 186 3.98
Lake Illinois 4529 162 3.58
Clark Nevada 4473 238 5.32
Bristol Massachusetts 4380 223 5.09

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc